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Option-Pricing-with-Neural-Networks
Option-Pricing-with-Neural-Networks PublicEnhancing Black–Scholes-Merton Option Pricing Accuracy with Neural Networks: A Data-Driven Approach on European SP500 Index Options
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industree
industree PublicA zoomable atlas of the world's companies — Wikipedia's structure + Bloomberg's subject matter, navigated like a treemap. GICS tree from World to single company, 20 years of fundamentals, no backend.
Python
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technical-projects
technical-projects PublicMy quantitative & data-driven projects: fixed-income VaR, momentum funds analysis, big data for political strategy, and marketing analytics. (My econometrics paper on trade policy uncertainty vs th…
Jupyter Notebook
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FinBERT-Sentiment-Analysis-of-FED-Communications
FinBERT-Sentiment-Analysis-of-FED-Communications PublicFinBERT Sentiment Analysis of FED Communications
Jupyter Notebook
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Econometrics-TPU-Paper
Econometrics-TPU-Paper PublicThe following study explores the extent to which Trade Policy Uncertainty (TPU) influences financial markets, focusing on U.S. stock market performance. It leverages monthly time-series data from 2…
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non-technical-projects
non-technical-projects PublicHere are my finance & business projects: equity valuations and investment pitches (A2A, DiaSorin, Peloton), MiFID II regulatory analysis, and an AirBnB host website.
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